Source code for openquake.hazardlib.gsim.convertito_2012
# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2014-2018 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
"""
Module exports :class:'ConvertitoEtAl2012Geysers'
"""
import numpy as np
# standard acceleration of gravity in m/s**2
from scipy.constants import g
from openquake.hazardlib.gsim.base import GMPE, CoeffsTable
from openquake.hazardlib import const
from openquake.hazardlib.imt import PGA
[docs]class ConvertitoEtAl2012Geysers(GMPE):
"""
Implements the PGA GMPE for Induced Seismicity in the Geysers Geothermal
field, published in Convertito, V., Maercklin, N., Sharma, N., and Zollo,
A. (2012) From Induced Seismicity to Direct Time-Dependent Seismic
Hazard. Bulletin of the Seismological Society of America, 102(6),
2563 - 2573
"""
#: The GMPE is derived from induced earthquakes in the Geysers Geothermal
#: field
DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.GEOTHERMAL
#: Supported intensity measure types are peak ground acceleration
DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([
PGA,
])
#: Supported intensity measure component is the larger of two components
DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = \
const.IMC.GREATER_OF_TWO_HORIZONTAL
#: Supported standard deviation types is total.
DEFINED_FOR_STANDARD_DEVIATION_TYPES = set([
const.StdDev.TOTAL
])
#: Required site parameters. The GMPE was developed for two site conditions
#: "with" and "without" site effect. No information is given regarding
#: the soil conditions, so we assume "with site effect" to correspond
#: to NEHRP Classes C, D or E (i.e. Vs30 < 760), and "without site effect"
#: to corresponse to NEHRP Classes A and B (i.e. Vs30 >= 760)
REQUIRES_SITES_PARAMETERS = set(('vs30',))
#: Required rupture parameters are magnitude
REQUIRES_RUPTURE_PARAMETERS = set(('mag', ))
#: Required distance measure is hypocentral distance
REQUIRES_DISTANCES = set(('rhypo',))
#: GMPE not tested against independent implementation so raise
#: not verified warning
non_verified = True
[docs] def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
<.base.GroundShakingIntensityModel.get_mean_and_stddevs>`
for spec of input and result values.
"""
assert all(stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES
for stddev_type in stddev_types)
C = self.COEFFS[imt]
mean = (self._compute_magnitude_scaling(C, rup.mag) +
self._compute_distance_scaling(C, dists.rhypo) +
self._compute_site_scaling(C, sites.vs30))
# Original GMPE returns log acceleration in m/s/s
# Converts to natural logarithm of g
mean = np.log((10.0 ** mean) / g)
stddevs = self._compute_stddevs(C, dists.rhypo.shape, stddev_types)
return mean, stddevs
def _compute_magnitude_scaling(self, C, mag):
"""
Returns the magnitude scaling term
"""
return C["a"] + (C["b"] * mag)
def _compute_distance_scaling(self, C, rhypo):
"""
Returns the distance scaling term accounting for geometric and
anelastic attenuation
"""
return C["c"] * np.log10(np.sqrt((rhypo ** 2.) + (C["h"] ** 2.))) +\
(C["d"] * rhypo)
def _compute_site_scaling(self, C, vs30):
"""
Returns the site scaling term as a simple coefficient
"""
site_term = np.zeros(len(vs30), dtype=float)
# For soil sites add on the site coefficient
site_term[vs30 < 760.0] = C["e"]
return site_term
def _compute_stddevs(self, C, num_sites, stddev_types):
"""
Return total standard deviation.
"""
stddevs = []
for _ in stddev_types:
stddevs.append(np.zeros(num_sites) + np.log(10.0 ** C["sigma"]))
return stddevs
COEFFS = CoeffsTable(sa_damping=5, table="""
IMT a b c d h e sigma
pga -2.268 1.276 -3.528 0.053 3.5 0.218 0.324
""")